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Process / pipelinePower system operation and planning

Peramalan Beban

Peramalan beban memprediksi permintaan listrik di masa depan pada sistem tenaga listrik di berbagai cakrawala waktu: menit hingga jam (jangka pendek), hari hingga minggu (jangka menengah), dan bulan hingga tahun (jangka panjang). Peramalan yang akurat sangat penting untuk dispatch ekonomi, komitmen unit, dan keandalan sistem. Metodenya berkisar dari regresi statistik klasik hingga pendekatan pembelajaran mesin modern.

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Sumber

  1. Hippert, H. S., Pedreira, C. E., & Souza, R. C. (2001). Neural networks for short-term load forecasting: A review and evaluation. IEEE Transactions on Power Systems, 16(1), 44-55. DOI: 10.1109/59.910780
  2. Charlton, J. D., Kalamara, E., & James, R. D. (2008). Quantifying electricity load profiles and demand patterns. Energy Policy, 36(1), 181-193. link
  3. Bunn, D. W. (2005). Forecasting with Multiple Models: A Case Study of Electric Load Forecasting. Futures, 37(8), 896-906. link

Cara menyitasi halaman ini

ScholarGate. (2026, June 3). Electrical Load Forecasting and Demand Prediction. ScholarGate. https://scholargate.app/id/electrical-engineering/load-forecasting

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ScholarGateLoad Forecasting (Electrical Load Forecasting and Demand Prediction). Diakses 2026-06-15 dari https://scholargate.app/id/electrical-engineering/load-forecasting · Set data: https://doi.org/10.5281/zenodo.20539026